Paper
21 November 2022 Test and effectiveness evaluation of cooperative vehicle infrastructure system information interaction based on fuzzy comprehensive evaluation
Zhuomiao Gao, Qi Yang
Author Affiliations +
Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 123402E (2022) https://doi.org/10.1117/12.2652470
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China
Abstract
Information interaction is an important factor affecting the application of cooperative vehicle infrastructure system (CVIS). In order to evaluate the effectiveness level of cooperative vehicle infrastructure system (CVIS) information interaction with closed field test comprehensively and objectively, the analytic hierarchy process and fuzzy theory are used to study the effectiveness level of CVIS information interaction. By analyzing the key factors that affect the effect of CVIS information interaction, an effectiveness evaluation index system for the CVIS information interaction is established. And then, the analytic hierarchy process is used to determine the weight of the influence of different factors on the result of CVIS. By constructing the membership matrix, the fuzzy evaluation model is used to evaluate the effectiveness of CIVS. Finally, the method was experimentally verified by building an CVIS test system on a closed road with a networked vehicle, on-board unit (OBU), roadside unit (RSU) and wireless communication module. The effectiveness level of CVIS information interaction was obtained. The results show that the proposed evaluation results of CVIS information interaction can help to guide the update and development of in-vehicle devices and roadside devices.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhuomiao Gao and Qi Yang "Test and effectiveness evaluation of cooperative vehicle infrastructure system information interaction based on fuzzy comprehensive evaluation", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 123402E (21 November 2022); https://doi.org/10.1117/12.2652470
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Roads

Telecommunications

Fuzzy logic

Safety

Reliability

Wireless communications

Analytical research

Back to Top